Abstract: The present disclosure describes systems and methods for distributing retirement assets. One or more embodiments include receiving personal data related to an individual, the personal data including a number of projected income sources and a value of projected expenses of the individual, and receiving retirement asset allocation data of the individual, the retirement asset allocation data including current fund allotments to a number of money classes each having disparate tax treatment. One or more embodiments include calculating a value of projected after-tax income of the individual, calculating a deficit amount when the value of projected expenses exceeds the value of projected after-tax income, and using orthogonal sampling to calculate a distribution schedule for funding the deficit amount, the distribution schedule including, for each of the number of money classes, a recommended sum for the individual to withdraw from the money class in order to fund the deficit amount.

Abstract: The present disclosure describes systems and methods for distributing retirement assets. One or more embodiments include receiving personal data related to an individual, the personal data including a number of projected income sources and a value of projected expenses of the individual, and receiving retirement asset allocation data of the individual, the retirement asset allocation data including current fund allotments to a number of money classes each having disparate tax treatment. One or more embodiments include calculating a value of projected after-tax income of the individual, calculating a deficit amount when the value of projected expenses exceeds the value of projected after-tax income, and using orthogonal sampling to calculate a distribution schedule for funding the deficit amount, the distribution schedule including, for each of the number of money classes, a recommended sum for the individual to withdraw from the money class in order to fund the deficit amount.